• The Journal of Korean Association of Computer Education
• /
• v.6 no.4
• /
• pp.171-180
• /
• 2003

The recent paradigm of web-based teaching-learning is changing into a direction that analyzes the learning patterns of learners on the basis of learners' ability, aptitude, request, interest, learning history, activity profile, etc. and provides adaptive environment with individual learners The present study analyzed learners' learning patterns using data on learning activities and developed a personalization system that provides learning environment adapted to individual learners. This study customized in three aspects, which are recommendation of learning path, recommendation of interface and recommendation of interaction, through Web mining. The personalization system developed in this study was proved to be effective in improving individual learners' satisfaction with learning in Web-based teaching-learning environment.

• Proceedings of the Korean Institute of Intelligent Systems Conference
• /
• 2006.11a
• /
• pp.203-207
• /
• 2006

Nowadays, Cars are continuing to grow at an alarming rate but they also cause many problems such as traffic accident, pollutions and so on. One of the most effective methods that prevent traffic accidents is the use of traffic monitoring systems, which are already widely used in many countries. The monitoring system is beginning to be used in domestic recently. An intelligent monitoring system generates photo images of cars as well as identifies cars by recognizing their plates. That is, the system automatically recognizes characters of vehicle plates. An automatic vehicle plate recognition consists of two main module: a vehicle plate locating module and a vehicle plate number identification module. We study for a vehicle plate number identification module in this paper. We use image preprocessing, feature extraction, multi-layer neural networks for recognizing characters of vehicle plates and we present a feature-comparison method for improving the performance of vehicle plate number identification module. In the experiment on identifying vehicle plate number, 300 images taken from various scenes were used. Of which, 8 images have been failed to identify vehicle plate number and the overall rate of success for our vehicle plate recognition algorithm is 98%.

• The Journal of Korean Institute of Communications and Information Sciences
• /
• v.34 no.4B
• /
• pp.428-434
• /
• 2009

Many RFID authentication protocols have been proposed to build a secure ubiquitous environment. However, existing protocols do not respond recent attacks appropriately and they perform many hash operations to authenticate a large number of tags. In this paper, we propose a hash function-based secure authentication protocol for improving efficiency in RFID system. The proposed protocol is safe to passive attacks and active attacks, and requires only 2 hash operations in a tag and 3 hash operations in a database. Accordingly, the proposed protocol is very effective in RFID system environment which is composed to low-cost tags and a database handling many tags.

• Journal of the Korea Institute of Military Science and Technology
• /
• v.22 no.2
• /
• pp.266-277
• /
• 2019

In modern warfare, securing time for preemptive response is recognized as an important factor of victory. The naval combat system, the core of naval forces, also strives to increase the effectiveness of engagement by improving its real-time information processing capabilities. As part of that, it is considered to use the TPR-tree in the naval combat system's target indexing because spatio-temporal searches can be performed quickly even as the number of target information increases. However, because the TPR-tree is slow to process updates, there is a limitation to handling frequent updates. In this paper, we present a method for improving the update performance of TPR-tree by applying the bottom-up update scheme, previously proposed for R-tree, to the TPR-tree. In particular, we analyze the causes of overlaps occurring when applying the bottom-up updates and propose ways to limit the MBR expansion to solve it. Our experimental results show that the proposed technique improves the update performance of TPR-tree from 3.5 times to 12 times while maintaining search performance.

• Journal of the Korean Society of Physical Medicine
• /
• v.17 no.4
• /
• pp.27-35
• /
• 2022

PURPOSE: A Mat Pilates exercise program and a stretching program were conducted for elderly women to determine how the two interventions affect their autonomic nervous system. METHODS: The subjects of this study were 20 elderly women over 65 who regularly used a welfare center located in C city of Chungnam. The subjects were assigned randomly to the following two groups: 10 people in the breathing and mat Pilates exercise program group (PG) and 10 people in the breathing and stretching program group (SG). RESULTS: The present study design is randomized controlled trial. Vascular age was decreased significantly in the PG (p < .05). The mean stress index was reduced significantly in the PG (p < .05), and the amount of change was significantly larger in the PG than in the SG (p < .05). The health index was significantly lower in the PG than the SG (p < .05), and the amount of change in the PG was significantly more prominent than in the SG (p < .05). CONCLUSION: The Mat Pilates program was effective in improving the vascular age, average stress index, and health index of elderly women. In particular, it was significantly more effective than the stretching exercise program in improving the average stress and health indices.

• International Journal of Computer Science & Network Security
• /
• v.22 no.6
• /
• pp.339-345
• /
• 2022

Outcome-based education (OBE) is a tried-and-true teaching technique based on a set of predetermined goals. Program Educational Objectives (PEOs), Program Outcomes (POs), and Course Outcomes (COs) are the components of OBE. At the end of each year, the Program Outcomes are evaluated, and faculty members can submit many recommended measures which dependent on the relationship between the program outcomes and its courses outcomes to improve the quality of program and hence the overall educational program. When a vast number of courses are considered, bad actions may be proposed, resulting in unwanted and incorrect decisions. In this paper, a recommender system, using collaborative filtering and association rules algorithms, is proposed for predicting the best relationship between the program outcomes and its courses in order to improve the attributes of the graduates. First, a parallel algorithm is used for Collaborative Filtering on Data Model, which is designed to increase the efficiency of processing big data. Then, a parallel similar learning outcomes discovery method based on matrix correlation is proposed by mining association rules. As a case study, the proposed recommender system is applied to the Computer Information Systems program, College of Computer Sciences and Information Technology, Al-Baha University, Saudi Arabia for helping Program Quality Administration improving the quality of program outcomes. The obtained results revealed that the suggested recommender system provides more actions for boosting Graduate Attributes quality.

• Journal of the Semiconductor & Display Technology
• /
• v.22 no.4
• /
• pp.108-112
• /
• 2023

Precision manufacturing technology is rapidly developing due to the extreme miniaturization of semiconductor processes to comply with Moore's Law. Accurate and precise alignment, which is one of the key elements of the semiconductor pre-process and post-process, is very important in the semiconductor process. The center detection of wafer align marks plays a key role in improving yield by reducing defects and research on accurate detection methods for this is necessary. Methods for accurate alignment using traditional image sensors can cause problems due to changes in image brightness and noise. To solve this problem, engineers must go directly into the line and perform maintenance work. This paper emphasizes that the development of AI technology can provide innovative solutions in the semiconductor process as high-resolution image and image processing technology also develops. This study proposes a new wafer center detection method through variable thresholding. And this study introduces a method for detecting the center that is less sensitive to the brightness of LEDs by utilizing a high-performance object detection model such as YOLOv8 without relying on existing algorithms. Through this, we aim to enable precise wafer focus detection using artificial intelligence.

• The Journal of the Acoustical Society of Korea
• /
• v.43 no.2
• /
• pp.145-151
• /
• 2024

Recently, ship hull-mounted passive sonar system solution is needed in the perspective of improving target detection and elimination of vibration-induced noise. Our research team suggests acousticvibration matching method using front and rear signal of a sensor as the improvement of the problem above. Thus in this paper, theoretical background about matching method and its application on finite element method based multi-physics simulation are described. Furthermore, it is shown that target detection and hull vibration performance are improved by using matching method under the condition of our sensor system. Finally, practicality and future research are discussed.

• The Journal of Society for e-Business Studies
• /
• v.13 no.1
• /
• pp.55-69
• /
• 2008

In order to promote software industry, it is essential to train and utilize specialized software human resources in the industry. It is required to establish an appropriate qualification system for the industry in order to train and utilize the qualified human resources. The current national qualification system in the IT area cannot cope with the development of software industry and does not provide various qualifications required to the software workers. We analyze the problems of the current national qualification system for the software industry and propose a framework for improving the qualification system. Based on the review of the software skill standard and a range of technology levels, we suggest a new integrated qualification system that provides a variety of qualifications for various software skills at various levels. Also we propose policy alternatives for institutionalizing the new qualification system.

• The Journal of the Korea Contents Association
• /
• v.16 no.2
• /
• pp.588-599
• /
• 2016

This study aims to provide suggestions for improving national curriculum monitoring system. To achieve this goal, we analyzed the Korean national curriculum monitoring system in terms of actual problems and challenges faced by school teachers, and drew criteria for analyzing overseas curriculum monitoring system. Based on the criteria, we investigated the Australian and Singaporean national curriculum monitoring system. We especially carried out interviews with school teachers, principals, officials in Ministry of Education, and tried to identify the actual condition of curriculum monitoring system beyond superficial investigation of them. The results of this study provide four suggestions such as integrated way of monitoring, multi-way open system, and substantial approach into monitoring operation which will lead into meeting with the purpose of the monitoring system of national curriculum.